Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa

Hydrology and earth system sciences, Journal Year: 2020, Volume and Issue: 24(11), P. 5379 - 5406

Published: Nov. 16, 2020

Abstract. This study evaluates the ability of different gridded rainfall datasets to plausibly represent spatio-temporal patterns multiple hydrological processes (i.e. streamflow, actual evaporation, soil moisture and terrestrial water storage) for large-scale modelling in predominantly semi-arid Volta River basin (VRB) West Africa. Seventeen precipitation products based essentially on gauge-corrected satellite data (TAMSAT, CHIRPS, ARC, RFE, MSWEP, GSMaP, PERSIANN-CDR, CMORPH-CRT, TRMM 3B42 3B42RT) reanalysis (ERA5, PGF, EWEMBI, WFDEI-GPCC, WFDEI-CRU, MERRA-2 JRA-55) are compared as input fully distributed mesoscale Hydrologic Model (mHM). To assess model sensitivity meteorological forcing during partitioning into evaporation runoff, six temperature used combination with datasets, which results evaluating 102 combinations rainfall–temperature data. The is recalibrated each combinations, responses evaluated by using situ streamflow remote-sensing from GLEAM ESA CCI GRACE storage. A bias-insensitive metric impact simulation spatial processes. process-based evaluation show that have contrasting performances across four climatic zones present VRB. top three best-performing TAMSAT, CHIRPS PERSIANN-CDR streamflow; RFE CMORPH-CRT storage; MERRA-2, EWEMBI/WFDEI-GPCC PGF temporal dynamics moisture; TAMSAT ARC GSMaP-std evaporation; evaporation. No single or dataset consistently ranks first reproducing variability all best not necessarily patterns. In addition, suggest there more uncertainty representing than their dynamics. Finally, some region-tailored outperform global thereby stressing necessity importance regional studies increasingly becoming an alternative measurements data-scarce regions.

Language: Английский

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High-resolution satellite products improve hydrological modeling in northern Italy

Hydrology and earth system sciences, Journal Year: 2022, Volume and Issue: 26(14), P. 3921 - 3939

Published: July 29, 2022

Abstract. Satellite-based Earth observations (EO) are an accurate and reliable data source for atmospheric environmental science. Their increasing spatial temporal resolutions, as well the seamless availability over ungauged regions, make them appealing hydrological modeling. This work shows recent advances in use of high-resolution satellite-based EO In a set six experiments, distributed model Continuum is up Po River basin (Italy) forced, turn, by satellite precipitation evaporation, while satellite-derived soil moisture (SM) snow depths ingested into structure through data-assimilation scheme. Further, estimates precipitation, river discharge used calibration, results compared with those based on ground observations. Despite high density conventional measurements strong human influence focus region, all products show potential operational applications, skillful throughout domain. evaporation marginally improve (by 2 % 4 %) mean Kling–Gupta efficiency (KGE) at 27 gauges, to baseline simulation (KGEmean= 0.51) forced high-quality data. Precipitation has largest impact output, though average poorer skills Interestingly, calibration heavily relying data, opposed provides reconstruction discharges, paving way fully satellite-driven applications.

Language: Английский

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Accuracy of satellite and reanalysis rainfall estimates over Africa: A multi-scale assessment of eight products for continental applications

Journal of Hydrology Regional Studies, Journal Year: 2023, Volume and Issue: 49, P. 101514 - 101514

Published: Aug. 29, 2023

Continental Africa This study evaluates the accuracy of eight gauge-corrected rainfall products across through direct comparisons with in situ observations for period 2001–2020. The effect validation datasets on performance was also quantified ten African countries. Four categorical and five continuous metrics were estimated at multiple spatial temporal scales as part evaluation. Results indicate that varied space time. Evaluation revealed that, average, most showed poor results (KGE < 0.35) daily timescale. In contrast, RFE v2.0, ARC MSWEP v2.8 reliable > 0.75) monthly annual timescales. Among products, TAMSATv3.1, PERSIANN-CDR, ERA 5 relatively capturing observations. various mixed results. v2.0 CHIRPS detecting no rains (< 1 mm/day) all 19 scales, indicating a high level confidence drought studies. IMERG-F v6B heavy high-intensity events scales. Using KGE regional level, Northern region, Western Southern regions, Central Africa, Eastern region better performances Moreover, reduced when compared independent data (gauge not used by products) than dependent data. provides several new insights into choosing product continental to applications identifies need bias correction.

Language: Английский

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Application of VIC-WUR model for assessing the spatiotemporal distribution of water availability in anthropogenically-impacted basins

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 637, P. 131365 - 131365

Published: May 22, 2024

Language: Английский

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Global-scale evaluation of precipitation datasets for hydrological modelling

Hydrology and earth system sciences, Journal Year: 2024, Volume and Issue: 28(14), P. 3099 - 3118

Published: July 17, 2024

Abstract. Precipitation is the most important driver of hydrological cycle, but it challenging to estimate over large scales from satellites and models. Here, we assessed performance six global quasi-global high-resolution precipitation datasets (European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis version 5 (ERA5), Climate Hazards group Infrared with Stations 2.0 (CHIRPS), Multi-Source Weighted-Ensemble 2.80 (MSWEP), TerraClimate (TERRA), Prediction Unified 1.0 (CPCU), Estimation Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR, hereafter PERCCDR) modelling globally quasi-globally. We forced WBMsed model simulate river discharge 1983 2019 evaluated predicted against 1825 stations worldwide, a range statistical methods. The results show differences in accuracy predictions when different input datasets. Based on evaluation at annual, monthly, daily timescales, MSWEP followed by ERA5 demonstrated higher correlation (CC) Kling–Gupta efficiency (KGE) than other more 50 % stations, whilst was second-highest-performing dataset, showed highest error bias about 20 stations. PERCCDR least-well-performing up 99 normalised root mean square 247 %. only KGE CC products less 10 Even though provided overall, our analysis reveals high spatial variability, meaning that consider areas where lower performance. this study provide guidance selection basin, region, or climatic zone as there no single best dataset globally. Finally, discrepancy parts world highlights need improve data products.

Language: Английский

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Review of gridded climate products and their use in hydrological analyses reveals overlaps, gaps, and the need for a more objective approach to selecting model forcing datasets

Hydrology and earth system sciences, Journal Year: 2025, Volume and Issue: 29(1), P. 85 - 108

Published: Jan. 10, 2025

Abstract. Climate forcing data accuracy drives performance of hydrologic models and analyses, yet each investigator needs to select from among the numerous gridded climate dataset options justify their selection for use in a particular model or analysis. This study aims provide comprehensive compilation overview datasets (precipitation, air temperature, humidity, wind speed, solar radiation) considerations historical product criteria modeling analyses based on review synthesis previous studies conducting intercomparisons. All summarized here span at least conterminous US (CONUS), many are continental global extent. Gridded built ground-based observations (G; n= 20), satellite imagery (S; and/or reanalysis products (R; 23) compiled described, with focus characteristics that investigators may find useful discerning acceptable (variables, coverage, resolution, accessibility, latency). We best-available-science recommendations thorough review, interpretation, 29 recent (past 10 years) compared various analyses. No single best source exists, but we identified several common themes help guide future studies: daily temperature improved when derived over regions greater station density. Similarly, precipitation were more accurate higher-density data, used spatially less-complex terrain, corrected using data. In mountainous humid regions, R generally performed better than G underlying had low density, there was no difference higher densities. representing S datasets, although this did not always translate into streamflow modeling. conclude would benefit guided by investigators, including justification selecting specific dataset, retain dependencies variables represent small-scale spatial variability complex topography. Based study, authors' overall modelers (from Tables 1, 2, 3) (a) temporal resolutions match scales, (b) primarily (G) secondarily (SG RG) observations, (c) sufficient coverage analysis, (d) adequate latency analysis objectives, (e) includes all interest (so as interdependencies).

Language: Английский

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Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies

Hydrology and earth system sciences, Journal Year: 2021, Volume and Issue: 25(6), P. 3331 - 3350

Published: June 16, 2021

Abstract. Climate change impact studies require a reference climatological dataset providing baseline period to assess future changes and post-process climate model biases. High-resolution gridded precipitation temperature datasets interpolated from weather stations are available in regions of high-density networks stations, as is the case most parts Europe United States. In many world's regions, however, low density observational renders gauge-based highly uncertain. Satellite, reanalysis merged product have been used overcome this deficiency. However, it not known how much uncertainty choice may bring studies. To tackle issue, study compares nine two over 1145 African catchments evaluate contribution results These deterministic all cover common 30-year needed define climate. The include gauge-only products (GPCC CPC Unified), satellite (CHIRPS PERSIANN-CDR) corrected using ground-based observations, four (JRA55, NCEP-CFSR, ERA-I ERA5) one gauged, (MSWEP). gauged-only (CPC Unified) (ERA5) product. All combinations these were streamflows. against that other sources uncertainty, top-down hydroclimatic modeling chain 10 CMIP5 (fifth Coupled Model Intercomparison Project) general circulation models (GCMs) under RCP8.5 lumped hydrological (HMETS GR4J) generate streamflows 2071–2100 period. Variance decomposition was performed compare different contribute actual uncertainty. Results show provide good streamflow simulations period, but outperformed others for catchments. They are, order, MSWEP, CHIRPS, PERSIANN ERA5. For present study, two-member ensemble provided negligible levels equal or larger than related GCMs metrics A selection best-performing (credibility ensemble) significantly reduced attributed still remained main source some metrics. can therefore be critical apparently small differences between propagate large amounts

Language: Английский

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Contrasting changes in hydrological processes of the Volta River basin under global warming

Hydrology and earth system sciences, Journal Year: 2022, Volume and Issue: 26(5), P. 1481 - 1506

Published: March 18, 2022

Abstract. A comprehensive evaluation of the impacts climate change on water resources West Africa Volta River basin is conducted in this study, as region expected to be hardest hit by global warming. large ensemble 12 general circulation models (GCMs) from fifth Coupled Model Intercomparison Project (CMIP5) that are dynamically downscaled five regional (RCMs) Coordinated Regional-climate Downscaling Experiment (CORDEX)-Africa used. In total, 43 RCM–GCM combinations considered under three representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5). The reliability each datasets first evaluated with satellite reanalysis reference datasets. Subsequently, Rank Resampling for Distributions Dependences (R2D2) multivariate bias correction method applied bias-corrected projections then used input mesoscale Hydrologic (mHM) hydrological over 21st century (1991–2100). Results reveal contrasting dynamics seasonality rainfall, depending selected greenhouse gas emission scenarios future projection periods. Although air temperature potential evaporation increase all RCPs, an magnitude variables (actual evaporation, total runoff, groundwater recharge, soil moisture, terrestrial storage) only projected RCP8.5. High- low-flow analysis suggests increased flood risk RCP8.5, particularly Black Volta, while droughts would recurrent RCP2.6 White Volta. evolutions streamflow indicate a delay date occurrence low flows up 11 d high could occur 6 earlier (RCP2.6) or 5 later (RCP8.5), compared historical period. Disparities observed spatial patterns hydroclimatic across climatic zones, higher warming Sahelian zone. Therefore, have severe implications availability concerns rain-fed agriculture, thereby weakening water–energy–food security nexus amplifying vulnerability local population. variability between highlights uncertainties indicates need better represent complex features models. These findings serve guideline both scientific community improve decision-makers elaborate adaptation mitigation strategies cope consequences strengthen socioeconomic development.

Language: Английский

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Evaluating the effectiveness of CHIRPS data for hydroclimatic studies

Theoretical and Applied Climatology, Journal Year: 2023, Volume and Issue: 155(3), P. 1519 - 1539

Published: Nov. 3, 2023

Language: Английский

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Future climate or land use? Attribution of changes in surface runoff in a typical Sahelian landscape

Comptes Rendus Géoscience, Journal Year: 2023, Volume and Issue: 355(S1), P. 411 - 438

Published: Jan. 12, 2023

In this study, the Soil and Water Assessment Tool (SWAT) model is used to assess changes in surface runoff between baseline (1995–2014) future (2031–2050) periods Tougou watershed (37km 2 ) Burkina Faso. The study uses a combination of land use maps (for current periods) bias-corrected ensemble 9 CMIP6 climate models, under two warming scenarios. An increase rainfall (13.7% 18.8%) projected, which major contributor (24.2% 34.3%). change narrative (i.e. conversion bare areas croplands) expected decrease runoff, albeit minor comparison effect change. Similar findings are observed for annual maximum runoff. This sheds light on need consider simultaneously framing water management policies. Dans cette étude, le modèle agro-éco-hydrologique SWAT est utilisé pour évaluer les changements dans l’écoulement de entre la période référence 1995–2014 et 2031–2050 sur bassin versant au Cette étude utilise une combinaison cartes d’états (pour actuelle future) un corrigé modèles climatiques issus des simulations CMIP6, sous deux scénarios réchauffement. Une augmentation précipitations (de 13,7 % à 18,8 %) prévue, ce qui principal facteur contribuant l’augmentation écoulements (24,2 34,3 %). Les projetés états (principalement surfaces dégradées en sols cultivés) devrait entraîner diminution surface, toutefois proportions plus faibles comparaison effets du climat futur. Des résultats similaires sont observés lécoulement maximal annuel. met lumière nécessité prendre compte simultanément futur l’élaboration politiques futures gestion l’eau.

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